Stochastic geometry and random graphs for the analysis and design of wireless networks
IEEE Journal on Selected Areas in Communications - Special issue on stochastic geometry and random graphs for the analysis and designof wireless networks
An accurate model for interference from spatially distributed shadowed users in CDMA uplinks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Interference mitigation for distributed MIMO cellular systems using cooperative beamforming
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Exploiting channel angular domain information for precoder design in distributed antenna systems
IEEE Transactions on Signal Processing
Moment-matched lognormal modeling of uplink interference with power control and cell selection
IEEE Transactions on Wireless Communications
A primer on spatial modeling and analysis in wireless networks
IEEE Communications Magazine
Open vs. closed access femtocells in the uplink
IEEE Transactions on Wireless Communications
On the Deployment of Antenna Elements in Generalized Multi-User Distributed Antenna Systems
Mobile Networks and Applications
Energy-Efficient Resource Allocation in Mobile Networks with Distributed Antenna Transmission
Mobile Networks and Applications
NEMOx: scalable network MIMO for wireless networks
Proceedings of the 19th annual international conference on Mobile computing & networking
Throughput-optimal resource allocation in LTE-Advanced with distributed antennas
Computer Networks: The International Journal of Computer and Telecommunications Networking
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In a cellular distributed antenna system (DAS), distributed antenna elements (AEs) are connected to the base station via an offline dedicated link, e.g. fiber optics or line-of-sight RF. Distributed antennas have been recently shown to provide considerable gains in coverage and capacity, at much lower cost than decreasing cell size. Previous studies have neglected the key sources of randomness in such systems, notably (i) random channel effects (fading and shadowing) and (ii) the random quantity and locations of both the mobile users and the AEs. Typically, path loss has been the focus, and the AEs are assumed to be regularly spaced, both of which are significant idealizations. First, we develop an analytical framework that allows random channels to be accommodated. We use this approach to show that selection transmission (using a single AE) is preferable to maximum ratio transmission (which uses all the AEs) in a multicell environment. Interestingly, the opposite is true in an isolated cell. Second, since AEs are placed opportunistically (on tall structures with backhaul access) rather than regularly, we develop a stochastic geometry-inspired approach to determine the outage probability as a function of the number of randomly placed AEs, which we model as a point process. With selection transmission, the outage probability is shown to decrease exponentially with the number of AEs and users. In the most general setup - with multiple distributed antennas and users, and both AE selection and user selection - we show that randomly deployed AEs provide nearly the same performance as regularly spaced AEs.